1. Data Science and Analytics Curriculum development at Rensselaer (and the Tetherless World Constellation) (Adapted from NRC BigData Education Was April 11-12, 2014, Washington DC) ESIP Federation Summer Meeting, July 10, 2014 Peter Fox (RPI and WHOI/AOP&E) pfox@cs.rpi.edu, @taswegianpfox@cs.rpi.edu Tetherless World Constellation, http://tw.rpi.edu #twcrpihttp://tw.rpi.edu Earth and Environmental Science, Computer Science, Cognitive Science, and IT and Web Science

2. Data is a 1 st class citizen 2 http://thomsonreuters.com/content/press_room/science/686112

3. tw.rpi.edu Research Themes Future Web Web Science Policy Social Xinformatics Data Science Semantic eScience Data Frameworks Semantic Foundations Knowledge Provenance Ontology Engineering Environments Inference, Trust Hendler Fox McGuinness Multiple depts/schools/programs ~ 35 (Post-doc, Staff, Grad, Ugrad)

4. http://tw.rpi.edu/web/Courses 4 DataInformationKnowledge Context Presentation Organization Integration Conversation Creation Gathering Experience Data ScienceXinformaticsSemantic eScience Web Science GIS4Science Data Analytics

5. Data Science Beyond a Venn diagram

6. Data Analytics Challenge 6

7. 5-6 years in… Science and interdisciplinary from the start! –Not a question of: do we train scientists to be technical/data people, or do we train technical people to learn the science –It’s a skill/ course level approach that is needed –We teach methodology and principles over technology * –Data science must be a skill, and natural like using instruments, writing/using codes –Team/ collaboration aspects are key ** –Foundations and theory must be taught *** Multi-disciplinary science program - PhD in Data and Web Science DATUM: Data in Undergraduate Math! (Bennett) Missing – intermediate statistics

8. Science of Data Science http://online.liebertpub.com/doi/pdfplus/10.1089/big.2014.0011